Code Ownership in Github Action Workflow files
GA Code Ownership Analysis
library(dplyr)
library(tidyr)
library(stringr)
library(readr) # read csv
library(ggpubr) # combine multiple graphs into one
library(ggplot2)
library(lubridate)
library(Polychrome) # color palette
library(knitr)
library(kableExtra)
library(gridExtra)# set working directory
setwd(setwd("~/Documents/GitHub/code-ownership-analysis"))Import data
tensorflow <- read_csv("./data/tensorflow_commit_history.csv")
keras <- read_csv("./data/keras_commit_history.csv")
pytorch <- read_csv("./data/pytorch_commit_history.csv")
vscode <- read_csv("./data/vscode_commit_history.csv")
powertoys <- read_csv("./data/PowerToys_commit_history.csv")
react <- read_csv("./data/react_commit_history.csv")
reactNative <- read_csv("./data/react-native_commit_history.csv")
createReactApp <- read_csv("./data/create-react-app_commit_history.csv")
core <- read_csv("./data/core_commit_history.csv")
flutter <- read_csv("./data/flutter_commit_history.csv")
azureDocs <- read_csv("./data/azure-docs_commit_history.csv")
stableDiffusionWebUI <- read_csv("./data/stable-diffusion-webui_commit_history.csv")
nextJs <- read_csv("./data/next.js_commit_history.csv")
langchain <- read_csv("./data/langchain_commit_history.csv")Check for missing data
When reading the commit data from these files, R will throw warning messages because of missing values. The following code chunk inspects what values are missing.
Data preprocessing
Combine data in a single data frame
Combine the data of all repositories into a single data frame. Here I
also create a new column called repo to indicate from which
repository the data is from.
all_repos <- bind_rows(
tensorflow %>% mutate(repo='tensorflow'),
keras %>% mutate(repo='keras'),
pytorch %>% mutate(repo='pytorch'),
vscode %>% mutate(repo='vscode'),
powertoys %>% mutate(repo='powertoys'),
react %>% mutate(repo='react'),
reactNative %>% mutate(repo='reactNative'),
createReactApp %>% mutate(repo='createReactApp'),
core %>% mutate(repo='core'),
flutter %>% mutate(repo='flutter'),
azureDocs %>% mutate(repo='azureDocs'),
stableDiffusionWebUI %>% mutate(repo='stableDiffusionWebUI'),
nextJs %>% mutate(repo='nextJs'),
langchain %>% mutate(repo='langchain'))Extract yaml files
Extract yaml commits inside the .github/workflows
directory. The input data frame needs to be structured so that each row
represents a yaml file from a commit. If a commit features multiple yaml
files, it is split into multiple rows.
# helper function
extract_yaml_files <- function(commits_df){
yamlFiles <- commits_df %>%
filter(
str_starts(file, ".github/workflows/") &
str_ends(file, ".yml")) %>%
mutate(file = gsub(".github/workflows/","",file)) %>% # remove path from file name
mutate(file = gsub(".yml|.yaml","",file)) # remove file ending to shorten the names
return(yamlFiles)
}# TensorFlow
tensorflow_yml_commits <- extract_yaml_files(tensorflow)
# Keras
keras_yml_commits <- extract_yaml_files(keras)
# Pytorch
pytorch_yml_commits <- extract_yaml_files(pytorch)
# VScode
vscode_yml_commits <- extract_yaml_files(vscode)
# PowerToys
powertoys_yml_commits <- extract_yaml_files(powertoys)
# React
react_yml_commits <- extract_yaml_files(react)
# React-Native
reactNative_yml_commits <- extract_yaml_files(reactNative)
# Create-React-App
createReactApp_yml_commits <- extract_yaml_files(createReactApp)
# Core
core_yml_commits <- extract_yaml_files(core)
# Flutter
flutter_yml_commits <- extract_yaml_files(flutter)
# Azure-Docs
azureDocs_yml_commits <- extract_yaml_files(azureDocs)
# stableDiffusionWebUI
stableDiffusionWebUI_yml_commits <- extract_yaml_files(stableDiffusionWebUI)
# nextJs
nextJs_yml_commits <- extract_yaml_files(nextJs)
# React
langchain_yml_commits <- extract_yaml_files(langchain)Combine all yml files into a single data frame
all_yml_files <- bind_rows(
tensorflow_yml_commits %>% mutate(repo='tensorflow'),
keras_yml_commits %>% mutate(repo='keras'),
pytorch_yml_commits %>% mutate(repo='pytorch'),
vscode_yml_commits %>% mutate(repo='vscode'),
powertoys_yml_commits %>% mutate(repo='powertoys'),
react_yml_commits %>% mutate(repo='react'),
reactNative_yml_commits %>% mutate(repo='reactNative'),
createReactApp_yml_commits %>% mutate(repo='createReactApp'),
core_yml_commits %>% mutate(repo='core'),
flutter_yml_commits %>% mutate(repo='flutter'),
azureDocs_yml_commits %>% mutate(repo='azureDocs'),
stableDiffusionWebUI_yml_commits %>% mutate(repo='stableDiffusionWebUI'),
nextJs_yml_commits %>% mutate(repo='nextJs'),
langchain_yml_commits %>% mutate(repo='langchain'),
)Functions for creating the plots
Commit contribution by file
This plot shows the number of authors and commits per file.
plot_commit_contribution <- function(df, repoName) {
# get number of unique values
ymlFilesCount <- n_distinct(df$file)
ymlAuthorCount <- n_distinct(df$author)
# set thresholds
thresholdFiles <- 10
thresholdAuthors <- 20
# Filter df to include top 'thresholdFiles' files with most commits, or all if fewer exist
top_files <- df %>%
# count occurrences of each file
count(file, name = "count") %>%
# sort files by their number of commits
arrange(desc(count)) %>%
# use slice_head to get exactly the number of files even if there are ties
# if number of files exceeds threshold, use threshold as max number of files to plot
slice_head(n = min(ymlFilesCount, thresholdFiles))
plot_data <- df %>%
filter(file %in% top_files$file)
plot <- plot_data %>%
group_by(file, author) %>%
summarise(count = n()) %>%
ggplot(., aes(fill = author, x = reorder(file, count, sum), y = count, label = count)) +
geom_bar(position ="stack", stat = "identity") +
geom_text(size = 3, position = position_stack(vjust = 0.5)) +
labs(
x = "Yaml Files",
y = "Number of Commits",
title = paste("Commit Contribution for YAML Files in", repoName),
# show different text based on number of files in df
caption = ifelse(ymlFilesCount > thresholdFiles,
paste("Among ", ymlFilesCount ,"total YAML files, this graph only includes", thresholdFiles ,
"files with the most commits."),
paste("Total of", ymlFilesCount ," YAML files from",ymlAuthorCount,"unique authors."))
)+
theme_bw() +
theme(axis.text.x = element_text(angle = 20, vjust = 1, hjust=1),
plot.caption = element_text(hjust=0),
# display or hide legend based on number of authors
legend.position = ifelse(
ymlAuthorCount > thresholdAuthors,
"none",
"bottom")
)
return(plot)
}
# test function with react repo
#plot_commit_contribution(react_yml_commits, "React")Commit activity as a timeline
This plot shows the number of commits over the time from the first (yaml file) commit in the workflow directory up to the date where the data was fetched.
plot_commit_timeline <- function(df, repoName) {
# get number of unique values
yearFirstCommit <- min(year(df$date))
dateFirstCommit <- format(min(as.Date(df$date)), "%B %d, %Y")
yearLastCommit <- max(year(df$date))
dateLastCommit <- format(max(as.Date(df$date)), "%B %d, %Y")
totalCommits <- n_distinct(df$hash)
# Calculate max commits on single day
maxDailyCommit <- df %>%
count(date = as.Date(date)) %>% # by using as.Date we remove the time from the date
pull(n) %>%
max()
# Calculate number of ticks on y-axis
maxTicks <- 10
tickInterval <- ceiling(maxDailyCommit / maxTicks) # round the result to the next bigger int: 2.7 -> 3
plot <- df %>%
group_by(date) %>%
summarise(count = n()) %>%
ggplot(aes(x = as.Date(date), y = count)) +
geom_col(color = "#00AFBB", fill="#00AFBB") +
scale_y_continuous(breaks = seq(0, maxDailyCommit, by = tickInterval), limits = c(0, maxDailyCommit)) +
labs(
x = "Date",
y = "Number of Commits",
title = paste0("YAML File Commit Activity Over Time in the ",repoName ," Repository (",yearFirstCommit,"-",yearLastCommit,")"),
caption = paste0("The data represents a total of ",totalCommits, " commits recorded from ",
dateFirstCommit, " to ",dateLastCommit,". \nNote: Individual bars represent the total commits per day; gaps indicate days with no recorded activity." )) +
theme_bw() +
theme(plot.caption = element_text(hjust=0))
return(plot)
}
# test function with react repo
#plot_commit_timeline(react_yml_commits, "React")Ownership map
This plot shows an ownership map where you can see who committed when to a file and who was the owner of it at what point in time.
plot_ownership_map <- function(df, repoName) {
# Create variables to display in plot text
yearFirstCommit <- min(year(df$date))
yearLastCommit <- max(year(df$date))
ymlFilesCount <- n_distinct(df$file)
ymlAuthorCount <- n_distinct(df$author) # do I need this?
# set thresholds
thresholdFiles <- 40
# Filter df to include top 'thresholdFiles' files with most commits, or all if fewer exist
top_files <- df %>%
# count occurrences of each file
count(file, name = "count") %>%
# sort files by their number of commits
arrange(desc(count)) %>%
# use slice_head to get exactly the number of files even if there are ties
# if number of files exceeds threshold, use threshold as max number of files to plot
slice_head(n = min(ymlFilesCount, thresholdFiles))
# Count the number of commits for each author and file up to each point in time
commits_cumulative <- df %>%
filter(file %in% top_files$file) %>% # filter files to reduce number of files in plot
group_by(file, author) %>%
arrange(date, .by_group = TRUE) %>%
mutate(commit_count = row_number()) %>%
ungroup()
# Initialize the new data frame
result_df <- data.frame(file = character(),
date = as.Date(character()),
author = character(),
leadingAuthor = character(),
stringsAsFactors = FALSE)
# Loop through each row to determine the leading author
for(i in 1:nrow(commits_cumulative)) {
current_file <- commits_cumulative$file[i]
current_date <- commits_cumulative$date[i]
# Subset the original data frame for the current file and dates up to the current date
subset_df <- commits_cumulative[commits_cumulative$file == current_file &
commits_cumulative$date <= current_date, ]
# Determine the leading author (the one with the most commits, and in case of a tie, the most recent)
leading_author <- subset_df %>%
group_by(author) %>%
summarise(commit_count = n(), latest_commit = max(date)) %>%
arrange(desc(commit_count), desc(latest_commit)) %>%
slice(1) %>%
pull(author)
# Append to the result data frame
result_df <- rbind(result_df,
data.frame(file = current_file, date = current_date,
author = commits_cumulative$author[i],
leadingAuthor = leading_author))
}
# Assign unique colors to each author using a custom color palette
num_authors <- unique(result_df$author)
seedcolors <- c(
"#E63946", "#F4A261", "#2A9D8F", "#D90429", "#E76F51",
"#2A6F97", "#F77F00", "#80B918", "#9A031E", "#D62828",
"#023E7D", "#5F0F40", "#9E0059", "#F8961E", "#3A0CA3",
"#E9C46A", "#8D99AE", "#006D77", "#EF476F", "#F72585")
colors <- createPalette(length(num_authors), seedcolors = seedcolors)
names(colors) <- num_authors
plot <- result_df %>%
ggplot(aes(x = date, y = file, group = file)) +
# Add lines that change color based on the leading author
geom_line(aes(color = leadingAuthor), linewidth = 1, alpha = 1) +
# Add points for each commit
geom_point(aes(color = author), size = 3, alpha = 0.6) +
# Set the colors for the authors
scale_color_manual(values = colors) +
# Adjust y-axis to show truncated file names
scale_y_discrete(labels = function(x) sapply(x, function(y) {
# shorten all file names longer than 10 characters
ifelse(nchar(y) > 10, paste0(substr(y, 1, 10), "..."), y)
})) +
labs(
x = "Date",
y = "Files",
color = "Authors",
title = paste0("Ownership Map of YAML Files from ",repoName ," Repository (",yearFirstCommit,"-",yearLastCommit,")"),
caption = ifelse(ymlFilesCount > thresholdFiles,
paste0("From a total of ", ymlFilesCount ," YAML files, this graph only includes ", thresholdFiles ,
" files with the most commits. \n Line colors denote the current leading contributor (owner) for each file."),
paste0("Total of ", ymlFilesCount, " YAML files. Line colors denote the current leading contributor (owner) for each file."))) +
theme_bw() +
theme(
legend.position = "none", # hide the legend for spacing reasons
#legend.box.just = "left",
# Remove top margin of legend
#legend.margin = margin(t = 0, unit = "cm"),
# Shift legend box to the left
#legend.box.margin = margin(l = -3, unit = "cm"),
# Shift caption to the left
plot.caption = element_text(hjust = -0.1, vjust = 1))# +
#guides(color=guide_legend(ncol=7))
return(plot)
}
# test function with react repo
#plot_ownership_map(react_yml_commits, "React")Ownership evolution of single file
Create similar plot as the ownership map but only for a single file and display additions and deletions for each commit. This function takes a df from the hole repo together with its name, as well as the name of the file of interest as input.
plot_file_evolution <- function(df, repoName, fileName) {
# Filter df for specific file
filtered_df <- df %>% filter(file==fileName)
# get number of unique values
ymlFilesCount <- n_distinct(filtered_df$file)
ymlAuthorCount <- n_distinct(filtered_df$author)
commitCount <- nrow(filtered_df)
# set thresholds
thresholdCommits <- 40
# Assign unique colors to each author
author_colors <- setNames(rainbow(length(unique(filtered_df$author))), unique(filtered_df$author))
plot_data <- filtered_df %>%
mutate(net_change = as.numeric(additions) - as.numeric(deletions)) %>%
arrange(date, hash) %>%
mutate(commit_order = row_number())
plot <- plot_data %>%
ggplot(aes(x = commit_order,
y = net_change,
fill = ifelse(net_change > 0, 'Positive', 'Negative'))) +
geom_bar(position ="stack", stat = "identity", width = 1) +
scale_fill_manual(values = c("Positive" = "darkgreen", "Negative" = "darkred")) +
scale_x_continuous(name = "Commit Sequence", breaks = NULL) + # remove x-axis breaks
scale_y_continuous(name = "Lines Changed",
breaks = scales::pretty_breaks(n = 10),
labels = scales::comma) +
geom_bar(aes(color=factor(author)), position="stack", stat="identity", show.legend = FALSE) + # Add border color
scale_color_manual(values = author_colors) +
geom_hline(yintercept = 0) + # Add zero line
labs(
title = paste0("Commit Contributions for file \"", fileName,"\" in ", repoName),
# show different text based on number of files in df
caption = paste("Total of", commitCount ," commits from",ymlAuthorCount,"unique authors.")) +
theme_bw() +
theme(axis.ticks.x = element_blank(),
plot.caption = element_text(hjust=0),
legend.position = "none")
return(plot)
}
# test function with react repo
#plot_file_evolution(react_yml_commits, "React", "commit_artifacts")Repository Analysis
Overview
# Summarize all repository data
repo_summary <- all_repos %>%
# remove commits without commit date
filter(!is.na(date)) %>%
group_by(repo) %>%
summarize(
"commits" = n_distinct(hash),
"authors" = n_distinct(author),
"first commit" = min(as.Date(date)),
"last commit" = max(as.Date(date))
)
# Summarize YAML specific data
yaml_summary <- all_yml_files %>%
# remove commits without commit date
filter(!is.na(date)) %>%
group_by(repo) %>%
summarize(
yml_commits = n(),
yml_authors = n_distinct(author),
"first yml commit" = min(as.Date(date))
)
# Combine summaries
final_table <- left_join(repo_summary, yaml_summary, by = "repo") %>%
select(repo, "commits", "authors", yml_commits, yml_authors, "first commit", "last commit", "first yml commit") %>%
arrange(desc(commits))
# Add a row for total sums
totals <- final_table %>%
summarize(
repo = "Total",
"commits" = sum(commits, na.rm = TRUE) %>% format(big.mark = "'", scientific = FALSE),
"authors" = sum(authors, na.rm = TRUE) %>% format(big.mark = "'", scientific = FALSE),
yml_commits = sum(yml_commits, na.rm = TRUE) %>% format(big.mark = "'", scientific = FALSE),
# get total unique authors not total authors
yml_authors = sum(yml_authors, na.rm = TRUE) %>% format(big.mark = "'", scientific = FALSE),
"first commit" = "",
"last commit" = "",
"first yml commit" = ""
)
# Append totals row to the final table
final_table_with_totals <- rbind(final_table, totals)
# Create the table
kable(final_table_with_totals, align = "c",caption = "Repository Summary")| repo | commits | authors | yml_commits | yml_authors | first commit | last commit | first yml commit |
|---|---|---|---|---|---|---|---|
| azureDocs | 779876 | 17351 | 89 | 18 | 1970-01-01 | 2023-12-15 | 2019-09-11 |
| core | 353152 | 7139 | 1018 | 44 | 2013-09-17 | 2023-12-15 | 2020-02-25 |
| pytorch | 342885 | 6149 | 40182 | 303 | 2012-01-25 | 2023-12-12 | 2019-09-06 |
| flutter | 255656 | 3114 | 435 | 29 | 2014-10-23 | 2023-12-15 | 2019-09-05 |
| tensorflow | 197339 | 6218 | 334 | 46 | 2015-11-06 | 2023-12-12 | 2019-08-28 |
| vscode | 161264 | 4197 | 1709 | 99 | 2015-11-13 | 2023-12-12 | 2019-09-21 |
| reactNative | 78949 | 5173 | 221 | 32 | 2015-01-29 | 2023-12-12 | 2019-08-22 |
| nextJs | 78900 | 5467 | 2430 | 77 | 2016-10-05 | 2023-12-15 | 2019-08-09 |
| react | 45913 | 3915 | 133 | 30 | 2013-05-28 | 2023-12-12 | 2019-11-30 |
| langchain | 39519 | 3403 | 976 | 48 | 2022-10-16 | 2023-12-15 | 2022-10-20 |
| powertoys | 27167 | 749 | 141 | 21 | 2013-12-19 | 2023-12-12 | 2020-01-27 |
| keras | 24293 | 2321 | 81 | 17 | 2015-03-21 | 2023-12-12 | 2020-02-11 |
| createReactApp | 16141 | 2854 | 185 | 38 | 2016-07-15 | 2023-12-03 | 2019-10-20 |
| stableDiffusionWebUI | 11157 | 1117 | 26 | 11 | 2022-08-22 | 2023-12-15 | 2022-08-24 |
| Total | 2’412’211 | 69’167 | 47’960 | 813 | NA | NA | NA |
TensorFlow
Commit contribution by file and author
plot_commit_contribution(tensorflow_yml_commits, "TensorFlow")## `summarise()` has grouped output by 'file'. You can override using the
## `.groups` argument.
Compare contribution by author
plot_author_comparison(tensorflow_yml_commits, "TensorFlow")## `summarise()` has grouped output by 'file'. You can override using the
## `.groups` argument.
Commit activity over time
plot_commit_timeline(tensorflow_yml_commits, "TensorFlow")
Ownership Map
plot_ownership_map(tensorflow_yml_commits, "TensorFlow")
Ownership evolution of single file
plot_file_evolution(tensorflow_yml_commits, "TensorFlow", "arm-ci")
Keras
Commit contribution by file and author
plot_commit_contribution(keras_yml_commits, "Keras")## `summarise()` has grouped output by 'file'. You can override using the
## `.groups` argument.
### Compare contribution by author
plot_author_comparison(keras_yml_commits, "Keras")## `summarise()` has grouped output by 'file'. You can override using the
## `.groups` argument.
Commit activity over time
plot_commit_timeline(keras_yml_commits, "Keras")
Ownership Map
plot_ownership_map(keras_yml_commits, "Keras")
Ownership evolution of single file
plot_file_evolution(keras_yml_commits, "Keras", "actions")
Pytorch
Commit contribution by file and author
plot_commit_contribution(pytorch_yml_commits, "Pytorch")## `summarise()` has grouped output by 'file'. You can override using the
## `.groups` argument.
Compare contribution by author
plot_author_comparison(pytorch_yml_commits, "Pytorch")## `summarise()` has grouped output by 'file'. You can override using the
## `.groups` argument.
Commit activity over time
plot_commit_timeline(pytorch_yml_commits, "Pytorch")
Ownership Map
plot_ownership_map(pytorch_yml_commits, "Pytorch")
Ownership evolution of single file
plot_file_evolution(pytorch_yml_commits, "Pytorch", "_win-test")
VScode
Commit contribution by file and author
plot_commit_contribution(vscode_yml_commits, "VS Code")## `summarise()` has grouped output by 'file'. You can override using the
## `.groups` argument.
Compare contribution by author
plot_author_comparison(vscode_yml_commits, "VS Code")## `summarise()` has grouped output by 'file'. You can override using the
## `.groups` argument.
Commit activity over time
plot_commit_timeline(vscode_yml_commits, "VS Code")
Ownership Map
plot_ownership_map(vscode_yml_commits, "VS Code")
Ownership evolution of single file
plot_file_evolution(vscode_yml_commits, "VS Code", "ci")
PowerToys
Commit contribution by file and author
plot_commit_contribution(powertoys_yml_commits, "Powertoys")## `summarise()` has grouped output by 'file'. You can override using the
## `.groups` argument.
Compare contribution by author
plot_author_comparison(powertoys_yml_commits, "Powertoys")## `summarise()` has grouped output by 'file'. You can override using the
## `.groups` argument.
Commit activity over time
plot_commit_timeline(powertoys_yml_commits, "Powertoys")
Ownership Map
plot_ownership_map(powertoys_yml_commits, "Powertoys")
Ownership evolution of single file
plot_file_evolution(powertoys_yml_commits, "Powertoys", "package-submissions")
React
Commit contribution by file and author
plot_commit_contribution(react_yml_commits, "React")## `summarise()` has grouped output by 'file'. You can override using the
## `.groups` argument.
Compare contribution by author
plot_author_comparison(react_yml_commits, "React")## `summarise()` has grouped output by 'file'. You can override using the
## `.groups` argument.
Commit activity over time
plot_commit_timeline(react_yml_commits, "React")
Ownership Map
plot_ownership_map(react_yml_commits, "React")
Ownership evolution of single file
plot_file_evolution(react_yml_commits, "React", "devtools_check_repro")
React-Native
Commit contribution by file and author
plot_commit_contribution(reactNative_yml_commits, "React Native")## `summarise()` has grouped output by 'file'. You can override using the
## `.groups` argument.
Compare contribution by author
plot_author_comparison(reactNative_yml_commits, "React Native")## `summarise()` has grouped output by 'file'. You can override using the
## `.groups` argument.
Commit activity over time
plot_commit_timeline(reactNative_yml_commits, "React Native")
Ownership Map
plot_ownership_map(reactNative_yml_commits, "React Native")
Ownership evolution of single file
plot_file_evolution(reactNative_yml_commits, "React Native", "on-issue-labeled")
Create-React-App
Commit contribution by file and author
plot_commit_contribution(createReactApp_yml_commits, "Create-React-App")## `summarise()` has grouped output by 'file'. You can override using the
## `.groups` argument.
Compare contribution by author
plot_author_comparison(createReactApp_yml_commits, "Create-React-App")## `summarise()` has grouped output by 'file'. You can override using the
## `.groups` argument.
Commit activity over time
plot_commit_timeline(createReactApp_yml_commits, "Create-React-App")
Ownership Map
plot_ownership_map(createReactApp_yml_commits, "Create-React-App")
Ownership evolution of single file
plot_file_evolution(createReactApp_yml_commits, "Create-React-App", "build")
Core
Commit contribution by file and author
plot_commit_contribution(core_yml_commits, "Core")## `summarise()` has grouped output by 'file'. You can override using the
## `.groups` argument.
Compare contribution by author
plot_author_comparison(core_yml_commits, "Core")## `summarise()` has grouped output by 'file'. You can override using the
## `.groups` argument.
Commit activity over time
plot_commit_timeline(core_yml_commits, "Core")
Ownership Map
plot_ownership_map(core_yml_commits, "Core")
Ownership evolution of single file
plot_file_evolution(core_yml_commits, "Core", "builder")
Flutter
Commit contribution by file and author
plot_commit_contribution(flutter_yml_commits, "Flutter")## `summarise()` has grouped output by 'file'. You can override using the
## `.groups` argument.
Compare contribution by author
plot_author_comparison(flutter_yml_commits, "Flutter")## `summarise()` has grouped output by 'file'. You can override using the
## `.groups` argument.
Commit activity over time
plot_commit_timeline(flutter_yml_commits, "Flutter")
Ownership Map
plot_ownership_map(flutter_yml_commits, "Flutter")
Ownership evolution of single file
plot_file_evolution(flutter_yml_commits, "Flutter", "scorecards-analysis")
Azure Docs
Commit contribution by file and author
plot_commit_contribution(azureDocs_yml_commits, "Azure Docs")## `summarise()` has grouped output by 'file'. You can override using the
## `.groups` argument.
Compare contribution by author
plot_author_comparison(azureDocs_yml_commits, "Azure Docs")## `summarise()` has grouped output by 'file'. You can override using the
## `.groups` argument.
Commit activity over time
plot_commit_timeline(azureDocs_yml_commits, "Azure Docs")
Ownership Map
plot_ownership_map(azureDocs_yml_commits, "Azure Docs")
Ownership evolution of single file
plot_file_evolution(azureDocs_yml_commits, "Azure Docs", "stale")
StableDiffusionWebUI
Commit contribution by file and author
plot_commit_contribution(stableDiffusionWebUI_yml_commits, "StableDiffusionWebUI")## `summarise()` has grouped output by 'file'. You can override using the
## `.groups` argument.
Compare contribution by author
plot_author_comparison(stableDiffusionWebUI_yml_commits, "StableDiffusionWebUI")## `summarise()` has grouped output by 'file'. You can override using the
## `.groups` argument.
Commit activity over time
plot_commit_timeline(stableDiffusionWebUI_yml_commits, "StableDiffusionWebUI")
Ownership Map
plot_ownership_map(stableDiffusionWebUI_yml_commits, "StableDiffusionWebUI")
Ownership evolution of single file
plot_file_evolution(stableDiffusionWebUI_yml_commits, "StableDiffusionWebUI", "python-package-conda")
Next.Js
Commit contribution by file and author
plot_commit_contribution(nextJs_yml_commits, "Next.Js")## `summarise()` has grouped output by 'file'. You can override using the
## `.groups` argument.
Compare contribution by author
plot_author_comparison(nextJs_yml_commits, "Next.Js")## `summarise()` has grouped output by 'file'. You can override using the
## `.groups` argument.
Commit activity over time
plot_commit_timeline(nextJs_yml_commits, "Next.Js")## Warning: Removed 1 rows containing missing values (`position_stack()`).
Ownership Map
plot_ownership_map(nextJs_yml_commits, "Next.Js")
Ownership evolution of single file
plot_file_evolution(nextJs_yml_commits, "Next.Js", "build_test_deploy")
Langchain
Commit contribution by file and author
plot_commit_contribution(langchain_yml_commits, "Langchain")## `summarise()` has grouped output by 'file'. You can override using the
## `.groups` argument.
Compare contribution by author
plot_author_comparison(langchain_yml_commits, "Langchain")## `summarise()` has grouped output by 'file'. You can override using the
## `.groups` argument.
Commit activity over time
plot_commit_timeline(langchain_yml_commits, "Langchain")
Ownership Map
plot_ownership_map(langchain_yml_commits, "Langchain")
Ownership evolution of single file
plot_file_evolution(langchain_yml_commits, "Langchain", "codespell")